Distributed State Estimation Using RSC Coded Smart Grid Communications

Guest Editorial: Smart Grid Communications

IN THIS SECOND edition of the IEEE JSAC Smart Grid series, we continue to explore advances in communication technologies that have the potential for improving energy efficiency and realizing the smart grid vision. We have received a total number of 73 papers, and after a thorough review and careful deliberations, we have accepted 15 articles. This issue tackles important challenges with respect...

Kalman Filters for Dynamic and Secure Smart Grid State Estimation

Combining dynamic state estimation methods such asKalmanfilterswith real-timedata generated/collected by digital meters such as phasor measurement units (PMU) can lead to advanced techniques for improving the quality of monitoring and controllability in smart grids. Classic Kalman filters achieve optimal performance with ideal systemmodels, which are usually hard to obtain in practice with unex...

State Estimation and Volt-Var Control in Smart Distribution Grid

Distribution smart grid is very important part of the smart grid. Utilities use Distribution Management System (DMS) as supervisory control layer at the power system control centers. State Estimation (SE) and Volt-Var Control (VVC) are the prime applications of the DMS. In the modern DMS, SE is required for extensive monitoring and control of the entire distribution network. In the presence of ...

Requirements of State Estimation in Smart Distribution Grid

Advanced analytical applications for global controls and optimization of distribution systems have not been widely adopted by utilities because of lacking real time complete system models. As more Intelligent Electronic Devices (IED) with two-way communications are being employed, the amount of quasi real time data gathered at different rates by various automation systems is increasing. With ef...

Distribution System State Estimation - A 1 step towards Smart Grid